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DTSTART;TZID=America/New_York:20260415T160000
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DESCRIPTION:Satellites\, robots\, and drones relying on conventional imagin
 g and AI are fundamentally limited by the diffraction limit of classical o
 ptics and the power and compute constraints of edge AI processing. Quantum
  imaging offers a new paradigm: processing information directly from incom
 ing light\, enabling orders-of-magnitude improvements in resolution\, sens
 itivity\, and processing efficiency. By moving part of the computation int
 o the physics of light itself\, quantum imaging dramatically reduces the n
 eed for power-intensive downstream processing while unlocking capabilities
  that classical systems cannot achieve. This breakthrough enables a new cl
 ass of Physical AI systems for Earth and space observation that are both f
 ar more capable and significantly more cost-effective. The technology has 
 the potential to unlock transformative applications—from discovering exo
 planets and protecting critical assets in space and on Earth\, to enhancin
 g financial intelligence and enabling earlier\, more reliable wildfire det
 ection.\n\nSpeaker(s): Johannes Galatsanos-Dueck\, \n\nRoom: 1st floor con
 ference space\, Bldg: Building 5\, Northeastern University Innovation Camp
 us at Burlington \, 147 South Bedford Street\, Burlington\, Massachusetts\
 , United States
LOCATION:Room: 1st floor conference space\, Bldg: Building 5\, Northeastern
  University Innovation Campus at Burlington \, 147 South Bedford Street\, 
 Burlington\, Massachusetts\, United States
ORGANIZER:fscire@icloud.com
SEQUENCE:14
SUMMARY:" Quantum Imaging for the Next Generation of Physical AI and Aerosp
 ace" 
URL;VALUE=URI:https://events.vtools.ieee.org/m/551141
X-ALT-DESC:Description: <br /><p class="MsoNormal" style="line-height: 115%
 \;"><span style="font-family: 'Arial'\,sans-serif\; mso-fareast-font-famil
 y: 'Times New Roman'\; color: black\;">Satellites\, robots\, and drones re
 lying on conventional imaging and AI are fundamentally limited by the diff
 raction limit of classical optics and the power and compute constraints of
  edge AI processing. Quantum imaging offers a new paradigm: processing inf
 ormation directly from incoming light\, enabling orders-of-magnitude impro
 vements in resolution\, sensitivity\, and processing efficiency. By moving
  part of the computation into the physics of light itself\, quantum imagin
 g dramatically reduces the need for power-intensive downstream processing 
 while unlocking capabilities that classical systems cannot achieve. This b
 reakthrough enables a new class of Physical AI systems for Earth and space
  observation that are both far more capable and significantly more cost-ef
 fective. The technology has the potential to unlock transformative applica
 tions&mdash\;from discovering exoplanets and protecting critical assets in
  space and on Earth\, to enhancing financial intelligence and enabling ear
 lier\, more reliable wildfire detection.</span></p>
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